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affaan-m/crosspost

affaan-m

crosspost

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

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v1.2Saved Apr 20, 2026

Crosspost

Distribute content across platforms without turning it into the same fake post in four costumes.

When to Activate

  • the user wants to publish the same underlying idea across multiple platforms
  • a launch, update, release, or essay needs platform-specific versions
  • the user says "crosspost", "post this everywhere", or "adapt this for X and LinkedIn"

Core Rules

  1. Do not publish identical copy across platforms.
  2. Preserve the author's voice across platforms.
  3. Adapt for constraints, not stereotypes.
  4. One post should still be about one thing.
  5. Do not invent a CTA, question, or moral if the source did not earn one.

Workflow

Step 1: Start with the Primary Version

Pick the strongest source version first:

  • the original X post
  • the original article
  • the launch note
  • the thread
  • the memo or changelog

Use content-engine first if the source still needs voice shaping.

Step 2: Capture the Voice Fingerprint

Run brand-voice first if the source voice is not already captured in the current session.

Reuse the resulting VOICE PROFILE directly. Do not build a second ad hoc voice checklist here unless the user explicitly wants a fresh override for this campaign.

Step 3: Adapt by Platform Constraint

X

  • keep it compressed
  • lead with the sharpest claim or artifact
  • use a thread only when a single post would collapse the argument
  • avoid hashtags and generic filler

LinkedIn

  • add only the context needed for people outside the niche
  • do not turn it into a fake founder-reflection post
  • do not add a closing question just because it is LinkedIn
  • do not force a polished "professional tone" if the author is naturally sharper

Threads

  • keep it readable and direct
  • do not write fake hyper-casual creator copy
  • do not paste the LinkedIn version and shorten it

Bluesky

  • keep it concise
  • preserve the author's cadence
  • do not rely on hashtags or feed-gaming language

Posting Order

Default:

  1. post the strongest native version first
  2. adapt for the secondary platforms
  3. stagger timing only if the user wants sequencing help

Do not add cross-platform references unless useful. Most of the time, the post should stand on its own.

Banned Patterns

Delete and rewrite any of these:

  • "Excited to share"
  • "Here's what I learned"
  • "What do you think?"
  • "link in bio" unless that is literally true
  • generic "professional takeaway" paragraphs that were not in the source

Output Format

Return:

  • the primary platform version
  • adapted variants for each requested platform
  • a short note on what changed and why
  • any publishing constraint the user still needs to resolve

Quality Gate

Before delivering:

  • each version reads like the same author under different constraints
  • no platform version feels padded or sanitized
  • no copy is duplicated verbatim across platforms
  • any extra context added for LinkedIn or newsletter use is actually necessary
  • brand-voice for reusable source-derived voice capture
  • content-engine for voice capture and source shaping
  • x-api for X publishing workflows
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Overall Score

76/100

Grade

B

Good

Safety

95

Quality

72

Clarity

79

Completeness

63

Summary

This skill guides an AI agent to adapt and distribute content across multiple social platforms (X, LinkedIn, Threads, Bluesky) while preserving the author's voice and avoiding generic cross-platform duplication. It uses content-engine and brand-voice patterns to generate platform-specific versions from a primary source, then outputs adapted variants with publishing notes.

Detected Capabilities

Content analysis and voice extractionPlatform-constraint adaptation (character limits, audience norms, format expectations)Multi-version content generationQuality gatekeeping (consistency checks across platforms)Publishing workflow guidance

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

crosspost social platformsadapt content multi-platformdistribute across x linkedin blueskyplatform-specific post variantssocial content distribution

Use Cases

  • Distribute a product launch across X, LinkedIn, Threads, and Bluesky with platform-specific adaptations
  • Convert a long-form article or essay into multiple platform-native posts
  • Adapt a company changelog or release note for social distribution without losing voice
  • Create a thread campaign that starts on X and extends to other platforms with appropriate edits

Quality Notes

  • POSITIVE: Clear, opinionated core rules that prevent common pitfalls (identical copy, fake CTAs, canned phrases). Rules 1–5 are specific and actionable.
  • POSITIVE: Well-structured workflow with sequential steps (primary version → voice fingerprint → platform adaptation). Dependencies on related skills (brand-voice, content-engine) are explicit.
  • POSITIVE: Platform-specific guidance avoids stereotypes and focuses on constraints. Sections for X, LinkedIn, Threads, and Bluesky each have distinct, practical advice.
  • POSITIVE: Banned Patterns section is concrete and eliminates common bad practices (e.g., 'Excited to share', generic takeaway paragraphs). This guides the agent toward authenticity.
  • POSITIVE: Quality Gate section provides explicit validation criteria the agent can check before delivery.
  • NEGATIVE: No error handling or fallback guidance. What if the user provides no source version? What if the user requests a platform the skill doesn't cover?
  • NEGATIVE: No examples of actual before/after adaptations. The skill describes the process but does not show transformed output for a real scenario.
  • NEGATIVE: Voice fingerprint reuse is mentioned but not detailed. How much of the VOICE PROFILE should the agent retain vs. adapt per platform?
  • NEGATIVE: Posting order section is brief and lacks detail on timing, sequencing strategy, or how to handle hashtags/links that may differ per platform.
  • NEGATIVE: Related Skills section references x-api but does not explain when or how the agent should invoke it, or what the skill's boundaries are vs. x-api's.
  • NEUTRAL: The skill is advisory (guides adaptation logic) rather than executable (does not define API calls or data structures). This is appropriate for a content strategy skill but limits what an agent can automate without external context.
Model: claude-haiku-4-5-20251001Analyzed: Apr 20, 2026

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Version History

v1.2

Content updated

2026-04-20

Latest
v1.1

Content updated

2026-04-12

v1.0

Seeded from github.com/affaan-m/everything-claude-code

2026-03-16

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